houghline

MATHWORKS提供MATLAB和C混合编程用户手册(MATLAB and C mixed programming user manual)

用凯泽窗设计线性相位带通FIR滤波器 计算理想带通滤波器单位抽样响应ha(n)的M函数文件dbpfr.m 计算凯泽窗函数wk(n)的M函数文件kwnd.m(Keyser window design with linear phase FIR bandpass filter calculate an ideal band-pass filter response ha sampling units ( n) M function calculation Keyser dbpfr.m document window function wk (n) M-function document kwnd.m)

pocklington型积分方程，用于矩量法求线电流，如偶极子天线(pocklington integral equations for the moments method for the line current, such as the dipole antenna)

软件无线电——matlab，主要介绍软件无线电中一些MATLAB仿真(Software-defined radio- matlab, introduces some of the MATLAB simulation software-defined radio)

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

Cognitive Radio Comlete book

G.729的全名Code Excited Linear Prediction Model (CELP) and Conjugate-Structure Algebraic CELP (CS-ACELP). 共轭结构-代数码激励线性预测编码. (Code Excited Linear Prediction Model (CELP) and Conjugate-Structure Algebraic CELP (CS-ACELP)

说明：  gaussian file, sech pulse , average power calculation , loss and enumeration files are included.

说明：  本程序是用MATLAB做的玫瑰曲线，效果如玫瑰花一样(This program is a rose curve made with MATLAB, the effect is like a rose)

说明：  本文提出一种在原始视频DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印的算法。算法首先将视频流分割成一个个场景,场景中的视频图像被变换到DCT-SVD域中,水印量化嵌入在最大奇异上,实现了水印盲检测。同时实验证明该算法在满足透明性要求下也满足一定的鲁棒性要求,能够抵抗低通滤波、中值滤波、椒盐噪声、高斯噪声、H.264压缩攻击以及统计攻击和帧剪切等攻击。(This paper presents an original video in the DCT (Discrete Cosine Transform) and SVD (singular value decomposition) algorithm for adaptive watermark embedding. Firstly, a video stream is divided into scenes, scenes of the video image is converted to the DCT-SVD domain, the watermark embedded in the largest singular quantification, the realization of the watermark signal. Furthermore, the experiments show that the algorithm meet the transparency requirements are met under certain robustness requirements, can resist the low-pass filtering, median filtering, salt and pepper noise, Gaussian noise, H.264 compression attacks and attacks and frame shear statistics attack.)